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Whisper Small Latvian - Robust

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 lv dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5621
  • Wer: 33.1120

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0219 16.67 1000 0.6129 41.1575
0.0029 33.33 2000 0.5975 36.1480
0.0003 50.0 3000 0.5626 33.6812
0.0004 66.67 4000 0.5608 33.2827
0.0001 83.33 5000 0.5715 33.8046

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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Dataset used to train ALM/whisper-lv-small-augmented

Evaluation results